added benchmark info

README.md

@@ -70,10 +70,6 @@ BüyükSinema is a Turkish movie reviews dataset of size 87K, scraped from Sinef
 
 This is a merge of the three different datasets from two resources, hence we scaled the output stars into the range of 1-10 accordingly. 
 
-This dataset is a part of [TRGLUE](https://huggingface.co/datasets/turkish-nlp-suite/TrGLUE) and [SentiTurca](https://huggingface.co/datasets/turkish-nlp-suite/SentiTurca) benchmarks, in the benchmark the subset name is **TrSST-2**, named according to the GLUE tasks.
-Also the TrGLUE and SentiTurca tasks are binary classification tasks to follow original GLUE conventions. Here, you can access the original star ratings if you want a challenge.
-Also benchmarking info is given in TrGLUE repo.
-
 The star distribution is as follows:
 
 
@@ -91,7 +87,7 @@ The star distribution is as follows:
 | 10  | 8,820 |
 | total | 87,328 |
 
-The star distribution is quite skewed towards 7+ stars.
+The star distribution is quite skewed towards 7+ stars. For more information about dataset statistics, please refer to the [research paper]().
 
 ## Dataset Instances
 
@@ -104,13 +100,19 @@ An instance looks like:
 }
 ```
 
-
-
 ## Data Split
 
 |  name   |train|validation|test|
 |---------|----:|---:|---:|
 |BüyükSinema Movie Reviews|67328|10000|10000|
 
+## Benchmarking
+This dataset is a part of [TRGLUE](https://huggingface.co/datasets/turkish-nlp-suite/TrGLUE) and [SentiTurca](https://huggingface.co/datasets/turkish-nlp-suite/SentiTurca) benchmarks, in the benchmark the subset name is **TrSST-2**, named according to the GLUE tasks.
+Also the TrGLUE and SentiTurca tasks are binary classification tasks to follow original GLUE conventions.
+In this repo, you can access the original star ratings if you want a challenge. 
+
+We benchmarked the transformer based model BERTurk on the binary classification task, this model achieved a **0.67** Matthews's correlation coefficient.
+More information can be found in the [research paper]() and benchmarking code can be found under [TrGLUE Github repo](https://github.com/turkish-nlp-suite/TrGLUE).
+
 ## Citation
 Coming soon!!